[jira] [Created] (SPARK-18739) Models in pyspark.classification support setXXXCol methods

["zhengruifeng (JIRA)" <ji...@apache.org>]

zhengruifeng created SPARK-18739:
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             Summary: Models in pyspark.classification support setXXXCol methods
                 Key: SPARK-18739
                 URL: https://issues.apache.org/jira/browse/SPARK-18739
             Project: Spark
          Issue Type: Improvement
          Components: ML, PySpark
            Reporter: zhengruifeng


Now, models in pyspark don't suport {{setXXCol}} methods at all.

I update models in {{classification.py}} according the hierarchy in the scala side:
1, add {{setFeaturesCol}} and {{setPredictionCol}} in class {{JavaPredictionModel}}
2, add {{setRawPredictionCol}} in class {{JavaClassificationModel}}
3, create class {{JavaProbabilisticClassificationModel}} inherit {{JavaClassificationModel}}, and add {{setProbabilityCol}} in it
4, {{LogisticRegressionModel}}, {{DecisionTreeClassificationModel}}, {{RandomForestClassificationModel}} and {{NaiveBayesModel}} inherit {{JavaProbabilisticClassificationModel}}
5, {{GBTClassificationModel}} and {{MultilayerPerceptronClassificationModel}} inherit {{JavaClassificationModel}}
6, {{OneVsRestModel}} inherit {{JavaModel}}, and add {{setFeaturesCol}} and {{setPredictionCol}} method.

With regard to model clustering and features, I suggest that we first add some abstract classes like {{ClusteringModel}}, {{ProbabilisticClusteringModel}},  {{FeatureModel}} in the scala side, otherwise we need to manually add setXXXCol methods one by one.




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